Showing papers in "Electric Power Systems Research in 2008"

TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.

TL;DR: In this work, differential evolution (DE) algorithm was studied for solving economic load dispatch (ELD) problems in power systems and the current proposal was found better than, or at least comparable to, them considering the quality of the solution obtained.

TL;DR: In this paper, a multi-time period combined gas and electricity network optimisation model was developed, taking into account the varying nature of gas flows, network support facilities such as gas storage and the power ramping characteristics of electricity generation units.

TL;DR: A powerful optimal coordination method based on GA is introduced to solve the problems of miscoordination and continuous or discrete time setting multiplier (TSM) or time dial setting (TDS).

TL;DR: In this article, performance of 10 fault location methods for power distribution systems has been compared using only measurements of voltage and current at the substation, and the results for several scenarios defined by significant values of the fault location and impedance.

TL;DR: A wavelet norm entropy-based effective feature extraction method for power quality (PQ) disturbance classification problem and a classification algorithm composed of a wavelet feature extractor based on norm entropy and a classifier based on a multi-layer perceptron are presented.

TL;DR: In this paper, a circuit-based simulation model of a photovoltaic (PV) panel by PSIM software package is developed, firstly, a 3-kW PV arrays established by using the proposed PSIM model with series and parallel connection is not only employed to carry out the fault analysis, but also to represent its I-V and P-V characteristics at variable surface temperatures and isolations under normal operation.

TL;DR: In this article, a hybrid method employing genetic algorithms and optimal power flow aims to overcome this shortcoming by searching a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations.

TL;DR: In this paper, a novel strategy of maximum power point tracking is presented for photovoltaic power generation systems based on Fibonacci search algorithm to realize simple control system to track the real maximum power points even under non-uniform or for rapidly changing insolation conditions.

TL;DR: In this paper, the optimal location and sizing of static and switched shunt capacitors in radial distribution systems is proposed to maximize the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network.

TL;DR: The anti-predatory activity is modeled and embedded in the classical PSO to form APSO, which enhances the exploration capability of the swarm and is applied to two test systems having nonconvex solution spaces.

TL;DR: In this article, the latest edition of the IEC 60909 Standard is applied for the calculation of the resulting fault level in medium and low voltage distribution networks with distributed generation (DG) to the network.

TL;DR: In this article, a model and a control of doubly fed induction-generator (DFIG)-based variable-speed wind-turbine is presented in the dq-synchronous reference frame.

TL;DR: In this paper, a hybrid state estimator for including voltage phasors, branch current phasor and traditional measurements is proposed and the detailed model and how to calculate covariance matrix of PMU measurements are described in detail.

TL;DR: In this article, an S-transform based modular neural network (NN) classifier was proposed for recognition of power quality disturbances in noisy condition and the performance of wavelet transform (WT) degrades while detecting and localizing the disturbances in the presence of noise.

TL;DR: In this paper, an analytical strategy based on mathematical modelling is proposed to solve economic, emission, and combined economic and emission dispatch problems by a single equivalent objective function, which has been applied to dissimilar realistic systems at different load conditions and the outcome of one such realistic system is presented here.

TL;DR: A survey on the alternatives in the measurement techniques and interpretation of sweep frequency response analysis measurements, describing some sources of uncertainty in applying this methodology can be found in this paper, however, criteria like the limits of normal variation of the parameters, and the features observed in the records in the presence of a determined type of fault could not coincide.

TL;DR: The implemented TSK fuzzy model, as confirmed by some simulation results on a doubly fed induction generator connected to a power system, exhibits high speed of computation, low memory occupancy, fault tolerance and learning capability.

TL;DR: In this article, the authors proposed a hybrid GA-SQP-GA algorithm for solving the economic dispatch problem (EDP) with valve-point loadings effects, where GA is used as the main optimizer and SQP is used to fine tune the solution of the GA run.

TL;DR: In this paper, a survey of the developed researches from 1983 up to 2006 related to the cogeneration systems is presented, focused on short-term operation planning and papers are grouped according to the most important characteristics.

TL;DR: In this article, a differential evolution (DE)-based optimization technique for solving short-term economic generation scheduling of hydrothermal systems is presented, where the water transport delay between the connected reservoirs is also taken into account.

TL;DR: In this paper, the authors proposed a new control algorithm for 3-phase 4-wire and 4-leg shunt active power filter (APF) to suppress harmonic currents, compensate reactive power and neutral line current and balance the load currents under unbalanced nonlinear load and non-ideal mains voltage conditions.

TL;DR: Voltage source converter-based HVdc (VSC-HVdc) systems have the ability to rapidly control the transmitted active power, and also to independently exchange reactive power with transmissions systems.

TL;DR: In this paper, a bi-objective economic dispatch problem considering wind penetration is formulated, which treats operational costs and security impacts as conflicting objectives, and a modified multiobjective particle swarm optimization (MOPSO) algorithm is adopted to develop a power dispatch scheme which is able to achieve compromise between economic and security requirements.

TL;DR: In this paper, an improved particle swarm optimization (PSO) method is developed to deal with the economic load dispatch while simultaneously considering the environmental impact, and a comparison is made between the proposed PSO approach and other approaches including weighted aggregation and evolutionary optimization.

TL;DR: Up to 7 days ahead electrical peak load forecasting has been done using feed forward neural network based on Steepest descent, Bayesian regularization, Resilient and adaptive backpropagation learning methods, by incorporating the effect of eleven weather parameters and past peak load information.

TL;DR: In this article, a proposal for an active management of the distribution system which makes use of an innovative controller that coordinates the on load tap changer (OLTC) action with the regulation of reactive exchanges between DG plants and feeders, is presented.

TL;DR: Ann with a modified Levenberg–Marquardt (LM) learning algorithm are implemented for forecasting prices in Pennsylvania–New Jersey–Maryland (PJM) market and it is shown that the results are reasonable and accurate.

TL;DR: In this paper, the authors present an integrated design of an offshore wind farm and an interconnection circuit based on a series multiterminal HVDC link with current source inverters.

TL;DR: In this article, a power swing blocking (PSB) scheme is proposed to prevent the distance relay from tripping under such conditions, which uses an adaptive neuro-fuzzy inference system (ANFIS) for preventing distance relay to tripping during power swings.